Algo-Ritmo: More-Than-Human Performative Acts and the Racializing Assemblages of Algorithmic Architectures

被引:40
|
作者
Dixon-Roman, Ezekiel [1 ]
机构
[1] Univ Penn, Sch Social Policy & Practice, Social Policy, Philadelphia, PA 19104 USA
来源
关键词
data; algorithm; machine learning; racializing assemblages; digital flesh;
D O I
10.1177/1532708616655769
中图分类号
G [文化、科学、教育、体育]; C [社会科学总论];
学科分类号
03 ; 0303 ; 04 ;
摘要
What happens when more-than-human digital acts tell us something about ourselves? This article examines the ways in which the algorithms of data analytics function in relation to other ontologies and assemblages and how they are shaping and forming our lives. Beginning by critically questioning the ontology of data, data are argued to be an assemblage that is materially and discursively produced from a multiplicity of apparatuses including sociopolitical relations of power and difference. The concept of algo-ritmothat is, the repetition of data with alterityis introduced as a way of understanding how the performative acts of the soft(ware) thinking of algorithms function. As the Spanish word for algorithm, algo-ritmo also situates the performative acts of algorithms as part of the relational and connected sociopolitical relations of racializing assemblages. Concluding remarks discuss both ethical implications and considerations for digital social inquiry.
引用
收藏
页码:482 / 490
页数:9
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